Lu Qi 
Ph.D. Candidate
Rm 1026, Ho Sin-Hang Engineering Building
Dept. of Computer Science and Engineering
The Chinese University of Hong Kong
Shatin, N.T., Hong Kong
Email: qqlu1992 [at] gmail.com
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Biography[CV]
I am a Ph.D. candidate in Computer Science and Engineering Department, The Chinese University of Hong Kong (CUHK) since 2017. My supervisor is Prof. Jiaya Jia. Before that, I received the M.E. degree in Pattern Recognition and Intelligent System from Institute of Automation, The Chinese Academy of Sciences in 2017, with the supervision of Prof. Hong Qiao. And I obtained the B.E. degree in Automation and the B.S. dual degree in Financial Mathematics from Shandong University in 2014.
My research interest includes computer vision and deep learning.
- LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-Resolution and Beyond
Wenbo Li, Kun Zhou, Lu Qi, Nianjuan Jiang, Jiangbo Lu, Jiaya Jia.
Thirty-fourth Conference on Neural Information Processing Systems, (NeurIPS), 2020
- RGB-D Co-attention Network for Semantic Segmentation
Hao Zhou*, Lu Qi*, Zhaoliang Wan, Hai Huang, Xu Yang.
15th Asian Conference on Computer Vision, (ACCV), 2020
- MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution
Wenbo Li, Xin Tao, Taian Guo, Lu Qi, Jiangbo Lu, Jiaya Jia.
16th European Conference on Computer Vision, (ECCV), 2020
- PointINS: Point-based Instance Segmentation
Lu Qi, Xiangyu Zhang, Yingcong Chen, Yukang Chen, Jian Sun, Jiaya Jia.
Technical Report
- Amodal Instance Segmentation through KINS Dataset
Lu Qi, Li Jiang, Shu Liu, Xiaoyong Shen, Jiaya Jia.
IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2019
- Sequential Context Encoding for Duplicate Removal
Lu Qi, Shu Liu, Jianping Shi, Jiaya Jia.
Thirty-second Conference on Neural Information Processing Systems, (NeurIPS), 2018.
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Path Aggregation Network for Instance Segmentation
Shu Liu, Lu Qi, Haifang Qin, Jianping Shi, Jiaya Jia.
IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2018 (Spotlight Presentation)
Ranked No. 1 of COCO 2017 Detection Challenge in Instance Segmentation Track
Ranked No. 2 of COCO 2017 Detection Challenge in Object Detection Track
Ranked No. 1 of 2018 Scene Understanding Challenge for Autonomous Navigation in Unstructured Environments Instance Segmentation Track
Competitions
Honors & Awards
Hong Kong Ph.D. Fellowship (231 candidates in Hong Kong) | 2017-2021 |
The President Scholarship of Shandong University (highest honor) | 2013 |
Baogang Steel Scholarship (top 0.5%) | 2013 |
Excellent Student in Shandong Province | 2013 |
National Scholarship (thrice) | 2011-2013 |
Research Experiences
Teaching
CSCI1120 Introduction to C++ | Fall | 2019-2020 |
CSCI2100B Data Structure | Spring | 2018-2019 |
ENGG1100 Introduction to Engineering Design | Fall | 2018-2019 |
CSCI3120 Compile Construction | Spring | 2017-2018 |